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JASE ›› 2019, Vol. 10 ›› Issue (3): 249-272.DOI: 10.3969/j.issn.1674-8484.2019.03.001

• 综述与展望 •    下一篇

锂离子电池荷电状态不同估算方法的综述及讨论（英文）

Gregory L. Plett   

  1. （科罗拉多大学 科罗拉多斯普林斯电气及计算机工程系， 科罗拉多 斯普林斯 80918，美国）
  • 收稿日期:2019-08-22 出版日期:2019-09-30 发布日期:2019-10-01

Review and Some Perspectives on Different Methods to Estimate State of Charge of Lithium-Ion Batteries

Gregory L. Plett   

  1. (Department of Electrical and Computer Engineering, University of Colorado Colorado Springs, Colorado Springs, CO 80918, United States of America)
  • Received:2019-08-22 Online:2019-09-30 Published:2019-10-01
  • About author:Gregory L. Plett, Professor, Department of Electrical and Computer Engineering; Director, GATE Center of Excellence in Innovative Drivetrains in Electric Automotive Technology Education University of Colorado Colorado Springs。E-mail: gplett@uccs.edu。
  • Supported by:

    University of Colorado Colorado Springs Internal Funding。

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摘要：

       综述了锂离子电池荷电状态（SOC）的不同估算方法，希望能够结合作者在该领域的经验为读 者提供一些见解和研究视角。电池管理系统 （BMS） 需要不断更新电池SOC的估计值，用于计算和 修正电池健康状态、能量状态以及功率状态（功能状态），并防止电池出现过充或者过放情况。已有 许多方法用于估计电池的SOC，其中有些方法更具优势。该文解说了电池SOC的物理含义，有助于 区分真实SOC以及工程SOC的估算方法；对于不同的估计方法进行了较为详细的讨论；并介绍了电 池包SOC指标的定义问题以及电池包中每个单体电池的SOC计算方法；最后，评述了目前该领域的 研究前沿，并展望了未来需要开展的工作。

关键词: 锂离子电池 , 电池管理系统（BMS）, 荷电状态（SOC）, 综述 , 基于模型的估计 , 基于数据的估计

Abstract:

Battery-management systems (BMS) must continuously update estimates of state-of-charge (SOC) in order to compute and calibrate estimates of state-of-health, state-of-energy, and state-of-power (state-offunction), and to prevent cell overcharge and undercharge conditions. There are many methods used to estimate SOC, with some having advantages over others. This paper reviews different SOC-estimation approaches for lithium-ion batteries and hopes to provide the reader with perspectives and insights based on experience working in the field. The physical significance of SOC was described, which can help distinguish between methods to estimate physical SOC versus engineering SOC. Different estimation approaches were discussed in some detail. The problem of defining a battery-pack SOC metric was presented and effcient methods to compute cell SOC for every cell in the pack were reviewed. Finally, some perspectives on the present state of the art and on needed future work in the area were presented.

Key words: lithium-ion-battery , battery-management systems (BMS) ,  state-of-charge (SOC) ,  review , modelbased estimation , data-based estimation